Update README.md

README.md

@@ -28,7 +28,36 @@ For details on the development and training of our model, please refer to our bl
 - **Summary:** This model generates images based on text prompts. It is a Latent Diffusion Model that uses two fixed, pre-trained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L). It follows the same architecture as [Stable Diffusion XL](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl).
 
 ### Using the model with 🧨 Diffusers
-<span style="color: red;">TODO</span>
+
+Install diffusers >= 0.26.0 and some dependencies:
+
+```
+pip install transformers accelerate safetensors
+```
+
+To run our model, you will need to use our custom pipeline from this gist: https://gist.github.com/aykamko/402e948a8fdbbc9613f9978802d90194
+
+**Notes:**
+- Only the Euler, Heun, and DPM++ 2M Karras schedulers have been tested
+- We recommend using `guidance_scale=7.0` for the Euler/Heun, and `guidance_scale=5.0` for DPM++ 2M Karras
+
+Then, run the following snippet:
+
+```
+# Include code from gist: https://gist.github.com/aykamko/402e948a8fdbbc9613f9978802d90194
+
+pipe = PlaygroundV2dot5Pipeline.from_pretrained(
+    "playgroundai/playground-v2.5-1024px-aesthetic",
+    torch_dtype=torch.float16,
+    use_safetensors=True,
+    add_watermarker=False,
+    variant="fp16",
+)
+pipe.to("cuda")
+
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image  = pipe(prompt=prompt, guidance_scale=7.0).images[0]
+```
 
 ### Using the model with Automatic1111/ComfyUI